EDA_miner

A visualization and analytics dashboard that is able to connect to APIs, receive your data, and allow you to run Machine Learning models from a server. Started as a university project, and will be deployed in their servers probably later this year. Also being worked on together with university staff for an E.U.-sponsored project.

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Just looking around? Then you can either install locally or with docker.

Locally:

1. Get Python3.6+, optionally with Anaconda. You might want to set up a virtual environment
2. Download (either via git clone https://github.com/KMouratidis/EDA_miner or as a zip)
3. You'll need redis (if on Windows, you might also need this) and graphviz (for pygraphviz)
4. Run pip install -r requirements.txt.
5. Navigate to the /EDA_miner folder.
6. Create an env.py file with your credentials, according to the given template (env_template.py) or simply rename it (some functionality will not work).
7. Run python initialize_project.py to create a dummy database and user (u: admin, pw: admin)
8. Run the app, e.g. with gunicorn: gunicorn wsgi:application.
9. If you want to work with Google Analytics:
   • Navigate to /EDA_miner/google_analytics.
   • Start the app with either:
     • Run pip install -r requirements.txt and python app.py or
     • sudo docker build --rm -t kmouratidis/ganalytics . and sudo docker run --rm --network host kmouratidis/ganalytics
10. Go to your browser, http://127.0.0.1:8000/.

Docker:

1. Download (either via git clone https://github.com/KMouratidis/EDA_miner or as a zip)
2. Get Redis in Docker, start a server, and publish port 6379, by running: sudo docker run --rm --name=redis-devel --publish=6379:6379 --hostname=redis --restart=on-failure --detach redis:latest
3. Navigate to the EDA Miner folder and run this to build the docker container: sudo docker build --rm -t kmouratidis/eda_miner .
4. Run the app container: sudo docker run --rm --network host kmouratidis/eda_miner
5. If you want to work with Google Analytics:
   • Navigate to /EDA_miner/google_analytics.
   • Run sudo docker build --rm -t kmouratidis/ganalytics . and sudo docker run --rm --network host kmouratidis/ganalytics
6. Go to http://127.0.0.1:8000/.

Examples of the Modeling app

Examples of the Visualization app:

Examples of the Data app: